This interactive dashboard analyzes self-reported salary data collected from over 28,000 professionals across industries, job roles, countries, and experience levels. Built using R, ggplot2, plotly, and flexdashboard, the project provides visual insights into salary trends based on: Age distribution and its relationship with salary Years of experience (overall and in-field) Geographic and industry-wise variations High-income segmentation (> $100K) The dashboard uses data cleaning, transformation, and modeling techniques, including linear regression analysis, to explore key patterns in compensation data. This project demonstrates my proficiency in: R programming and data wrangling with dplyr Interactive visualizations with plotly Dashboard development with flexdashboard